AI and Natural Language: Thomson Reuters Perspective on the Future of Tech
Event details
Thomson Reuters is a content-driven technology company with over a century of experience curating and classifying data and supporting professionals in complex domains that move society forward. Embedded in this legacy is their team of AI-focused engineers, research and data scientists, and designers who have been developing AI-powered applications for more than 30 years. At Thomson Reuters, AI and Natural Language are used to create, enhance, connect, and deliver trusted information to customers in its products that professionals use worldwide.
Join us for a discussion with Women leaders from Thomson Reuters to learn more about how they have grown their careers in AI and Natural Language to improve the world.
During this webinar, we will explore:
- How AI and Natural Language can change the face of the Tech industry in times to come
- How to grow your career in the field of Artificial Intelligence
- And more!
This event will be recorded and posted here following the event. We'll also email the recording directly to everyone who registers. By registering, you agree to share your email and profile information with the participating company.
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Meet the speakers
Isabelle Moulinier
VP, Applied AI Research, Thomson Reuters
Isabelle currently leads a team of applied scientists focused on bringing state-of-the-art research in artificial intelligence to the next generation of products. Isabelle has built, then led the development of many advanced technologies, specifically machine learning and natural language processing technologies, for Thomson Reuters for over 20 years. In that time, she and her team contributed to products such as Westlaw Japan, ResultsPlus, WestlawNext, Westlaw Edge and Checkpoint Edge. Most recently, her team was instrumental in developing the AI components at the core of Quick Check and Quick Check Judicial. Isabelle and her team have worked closely with the team of professionals driving product innovation in Westlaw Edge. Together, they are currently exploring how AI technologies can be applied further to solve problems for lawyers. Isabelle holds a M.Sc. and Ph.D. from the Université Pierre et Marie Curie, Paris, France, and a Diplôme d’Ingénieur from the Institut d’Informatique d’Entreprise, Evry, France. Before her recent return to Thomson Reuters, Isabelle led a team of data scientists at Capital One.
Maria Apazoglou
VP, AI/ML & BI Platforms, Thomson Reuters
Maria leads the Enterprise AI, BI & Data Platforms at Thomson Reuters, streamlining the user experience for accessing data and services to generate insights and develop AI solutions. She is an advocate of centralized platforms that offer both flexibility and autonomy to users, while also ensuring compliance with data and model governance standards. Maria holds a PhD in Pure Mathematics from Queen Mary University London and a degree in Applied Mathematics and Computer Science from National Technical University Athens. She started her career as a quantitative analyst at RBS and VTB Capital, ran at Palantir Technologies data driven projects for a big energy company and a number of financial institutions, and was the Head of Data and Architecture for Digital Business Services at HSBC where she played a key role in their cloud transformation program and the creation of a global operations data platform enhancing the speed of data driven decisions in a compliant and efficient manner across markets